täiskirje prindi

Hierarchical conceptual clustering based on quantile method for identifying microscopic details in distributional data

autor
vastutusandmed
Kadri Umbleja, Manabu Ichino, Hiroyuki Yaguchi
allikas
Advances in data analysis and classification
ilmumisaasta
leheküljed
30 p. : ill
leitav
ISSN
1862-5347
1862-5355
märkused
Bibliogr. p. 29-30
keel
inglise
märksõna
võtmesõna
conceptual clustering
quantile method
symbolic data
Uurimisrühm
Arukate süsteemide keskus
Umbleja, K., Ichino, M., Yaguchi, H. Hierarchical conceptual clustering based on quantile method for identifying microscopic details in distributional data // Advances in data analysis and classification (2020), 30 p. : ill. https://doi.org/10.1007/s11634-020-00411-w